Segmentation and recognition system for unknown-length handwritten digit strings
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition
Link
http://link.springer.com/content/pdf/10.1007/s10044-017-0607-x.pdf
Reference30 articles.
1. Congedo G, Dimauro G, Impedovo S, Pirlo G (1995) Segmentation of Numeric Strings. In: Proceedings of Third international conference on document analysis and recognition (ICDAR-3). Montreal, pp 1038–1041
2. Sadri J, Jalili MJ, Akbari Y, Foroozandeh A (2014) Designing a new standard structure for improving automatic processing of Persian handwritten bank cheques. Pattern Anal Appl 17(4):849–862
3. Kaufmann G, Bunke H (2000) Automated reading of cheque amounts. Pattern Anal Appl 3(2):132–141
4. Lam L, Suen CY (1988) Structural classification and relaxation matching of totally unconstrained handwritten zip-code numbers. Pattern Recogn 21(1):19–31
5. Suwa M (2005) Segmentation of connected handwritten numerals by graph representation. In: Proceedings of eighth international conference on document analysis and recognition (ICDAR-05), vol 2. Seoul, pp 750–754
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